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NEW TECHNOLOGYSCIENCE & SOLUTIONS SEE THINGS DIFFERENTLY

Data Library

Accelerate exploration with off-the-shelf seismic and geoscience products and studies.

North Viking Graben Map

Northern Viking Graben

Assess opportunities with a unique 44,000 km² regional broadband data set with new dual-azimuth coverage.

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GeoVerse geological database

GeoVerse™ Geological Database

Access all of CGG’s digitally transformed multi-client geological data, derived from an unrivaled library of geological studies and databases developed over the last 50 years.

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OBN data – Mississippi Canyon, Gulf of Mexico

Ocean Bottom Node Seismic

Get closer to the reservoir with expert seismic imaging of ocean bottom node (OBN) data.

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SeaScope

Strengthen situational awareness and mitigate offshore pollution risk with critical sea surface slick intelligence.

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Cloud Solutions

Data delivery, storage and compute: cloud services that accelerate business with a platform-agnostic, open approach.

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Data Transformation

Liberate and integrate trapped data using our proven teams, technology and taxonomy for better business outcomes.

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Geothermal

Geothermal

Reduce risk across exploration, development and production with geothermal services that help characterize the subsurface and monitor operations.

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CCUS power station

Carbon Capture, Utilization & Storage

Accelerate CCUS with integrated geoscience solutions to screen storage sites and optimize development for safe and effective injection and long-term storage of CO₂.

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Resources & News

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Event
GeoVerse Earth Data Day

GeoVerse Earth Data Day

Oct 12 - Oct 12, 2021 | CDT (UTC-5:00), Online

Join us as we showcase GeoVerse: the world’s most diverse, platform-agnostic geological database. This half-day virtual event will include breakout sessions with real-world examples from natural resource exploration, environmental, and energy transition projects.

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Flyer

EBMatch

Oct 13, 2021

Preserve the geological and seismic detail in your static model during history matching, assess uncertainty and reduce time spent on manual model updates with this innovative and efficient ensemble-based multi-scale data-driven approach.

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